AI & Machine Learning Engineer focused on building practical, production-ready systems across machine learning, generative AI, and backend automation.
I work on:
- RAG and AI assistant workflows
- Computer vision and deep learning pipelines
- FastAPI-based backend services
- Dockerized, cloud-ready deployments
- Workflow automation with Celery and Redis
I care about turning strong models into reliable products that are maintainable, observable, and easy to scale.
| ~60% Medical Query Response Time Reduction |
95%+ Chatbot Answer Accuracy |
~75% Manual Document Handling Reduction |
100% Double-Booking Eliminated |
92%+ Heart Prediction ROC-AUC |
These figures reflect project outcomes and evaluation results from deployed or prototype systems.
A machine learning project for heart disease prediction and risk analysis.
Focus: model evaluation, prediction performance, and healthcare-oriented ML use cases.
A document processing toolkit for automating PDF-related workflows.
Focus: extraction, document handling, and workflow efficiency.
- Production-oriented ML engineering
- RAG and AI system design
- Reliable API development
- Cloud and container-based deployment
- Automation and orchestration
- Clear technical communication and documentation
I’m open to opportunities involving:
- AI / ML engineering
- MLOps and deployment
- Backend development for AI products
- Automation and data workflow systems
- Applied computer vision and NLP
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